Lead Data Scientist

What's the role?:

We are hiring a Lead Data Scientist to own applied AI quality, data strategy, and downstream usefulness across advanced AI, computer vision, and perception systems. This person will define how we determine whether a system is working, where it is failing, what quality bar is required for release, and how data, evaluation, and applied modeling should evolve to improve the product.

This is a senior role for someone who can bring rigor to ambiguous technical programs, establish evaluation systems, and translate model behavior into product decisions, data strategy, and concrete improvement loops.

What You Will Own

Own the evaluation framework and quality strategy for advanced AI and vision systems

Define pass/fail metrics for output quality, structural fidelity, temporal consistency, label quality, robustness, and operational repeatability

Own data and validation strategy for improving model quality and downstream usefulness

Lead artifact auditing, failure taxonomy development, release-quality reporting, and evidence-based prioritization

Measure whether outputs are suitable for perception, mapping, generative AI, and customer-facing use cases

Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions

What You Will Do

Build and evolve metric suites for output quality, fidelity, repeatability, and downstream usefulness

Define human-review protocols and product acceptance thresholds for complex AI systems

Evaluate whether outputs preserve the structure, semantics, and consistency expected by downstream applications

Translate evaluation findings into data strategy, experiment priorities, and applied modeling opportunities

Help define dataset design, validation slices, and quality-improvement loops across the product

Create experiment and release reports that turn technical output into clear product decisions

Help prioritize what the team should fix next based on evidence rather than intuition

Establish evaluation foundations that remain useful across future AI, perception, and mapping capabilities

Who are you?:

What We Are Looking For

Strong background in applied machine learning, computer vision, synthetic-data evaluation, or perception-system validation

Experience designing metrics and evaluation frameworks for generative, simulation, or perception systems

Experience connecting model behavior, data quality, and product outcomes in ambiguous AI systems

Ability to translate research-quality experiments into practical engineering and release decisions

Strong analytical judgment and clear written communication

Comfort owning both strategy and execution in a small team

Education & Experience

Master’s or PhD in Computer Science, AI, Machine Learning, or related field.

5-8 years of experience in deep learning, computer vision, or multimodal AI.

Nice To Have

Experience with simulation, autonomous systems, geospatial AI, or map-grounded perception tasks

Familiarity with video quality metrics, structural similarity measures, temporal consistency checks, segmentation and detection evaluation, or label-quality assessment

Experience assessing synthetic-to-real transfer, dataset usefulness for downstream models, data curation strategy, or production quality governance

The expected base salary range for this position is $160,000 to $170,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.

As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.

#LI-REMOTE

Who are we?:

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.